AI Tokenomics and TCO: When On-Prem AI Infrastructure Outperforms the Cloud
Webinar
As generative AI moves from experimentation into enterprise-scale production, organizations are facing a new challenge: controlling the rapidly growing cost of AI inference and token consumption. What once worked for pilot projects in the cloud may no longer be financially sustainable for always-on AI applications, RAG systems, and agentic workflows.
In this webinar, Lenovo and NVIDIA experts will explore how AI economics are evolving from infrastructure-centric thinking to token-based operational economics. Using real-world TCO analysis and deployment scenarios, we will examine when cloud remains the right choice, where on-prem infrastructure powered by the NVIDIA Blackwell architecture delivers significant advantages, and how enterprises can optimize AI deployment strategies for long-term scale, performance, governance, and cost efficiency.
Attendees will gain practical frameworks to evaluate AI infrastructure investments, understand utilization tipping points, and align deployment decisions with business outcomes using insights from Lenovo and NVIDIA on scalable, enterprise-ready AI deployment.
What you'll learn and why you should attend:
- Understand how AI token economics and sustained inference workloads are reshaping the cloud vs on-prem infrastructure decision for enterprise AI, and why accelerated computing is becoming critical for efficient inference at scale.
- Learn how to evaluate breakeven points, utilization thresholds, and long-term TCO across real-world AI deployment scenarios, including how infrastructure choices impact AI performance, efficiency, and cost over time.
- Discover how hybrid AI infrastructure strategies can help organizations balance scalability, governance, performance, and long-term TCO using Lenovo infrastructure and NVIDIA accelerated computing to enable high-performance, enterprise-ready AI deployment.
Speakers
-
Scott Bekker Webinar Moderator Future B2B
-
David Ellison Chief Data Scientist & Director of AI & HPC Engineering Lenovo
-
Sachin Wani Staff Data Scientist, AI COE Lenovo
-
Charu Chaubal Principal Product Marketing Manager NVIDIA